The Monte Carlo mindset

There is a rich seam to be mined in the provision of tools to calculate counterparty credit risk. Clive Davidson looks at what’s on offer so far, and what could be coming on to the market

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Calculating counterparty credit risk poses a variety of challenges. Data, as always, is an issue. Then there is the problem of what model to use to best capture all the relevant risk factors. And while there is widespread acceptance of Monte Carlo simulation for overnight exposure calculations, pre-deal limits-checking requires something faster. Until recently, organisations were forced to trade off accuracy for speed to get a quick enough response to use in trading decisions. Now, new

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Credit risk & modelling – Special report 2021

This Risk special report provides an insight on the challenges facing banks in measuring and mitigating credit risk in the current environment, and the strategies they are deploying to adapt to a more stringent regulatory approach.

The wild world of credit models

The Covid-19 pandemic has induced a kind of schizophrenia in loan-loss models. When the pandemic hit, banks overprovisioned for credit losses on the assumption that the economy would head south. But when government stimulus packages put wads of cash in…

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